- Introduce some basic data science skills
- Demonstrate how to work effectively in cross-disciplinary teams
- Give an opportunity to learn and produce something worklife related
27. June 2022
Solveig Bjørkholt (PhD in political science)
Sondre Elstad (PhD in economics)
Alex Moltzau (AI Policy and Ethics at NORA)
Kind of like a festival!
Political science: Domain knowledge about power relations, institutions and broad analytical skills for studying social phenomena.
But consider these learning resources rather than syllabus. The goal here is to learn through creating, so use these resources to look up things you wonder about rather than read them from A to Z.
Week 1: Team work, Github, R, RStudio and R Markdown. Presentations from stakeholders.
Week 2: Data gathering and visualization.
Week 3: Text analysis.
Week 4: Machine learning.
Week 5: Machine learning, iterative work, deployment and IT communication.
Week 6: Finishing projects and final presentations.
The one-up awards: Two awards to the two students who make a particular effort to help others out.
Monday 27. June to Wednesday 13. July (week 1, 2 and 3)
Monday 18. July to Thursday 4. August (week 4, 5, and 6)
Case descriptions can be found in Canvas.
SSB: How can we contribute to better official statistics using webscraping to create an indicator of statistical quality from the “About the statistics” part on www.ssb.no?
NORAD: How can we use classification algorithms to discover whether an aid agreement also contributes to reduction of greenhouse gas emissions?
UNA (FN-sambandet): How can we use the storingscrape API to explore the political effect of UNA?
OAG (Riksrevisjonen): How can we use various data sources on health statistics to map the efficiency and quality of the Norwegian health care system?
OPX: How can we use various data sources on NGOs to create a product that maps the most efficient and robust NGOs for investors?
| Group 1 - SSB | ||||
|---|---|---|---|---|
| 1 | Abdullah Mohamed Reda Almudaffar | Faculty of Mathematics and Natural Sciences | Robotics (Informatics) | Bachelor |
| 2 | Beate Solstrand Baklund | Faculty of Social Sciences | Political Science | Bachelor |
| 3 | Tyra Larsdatter Grasmo | Faculty of Social Sciences | Sociology | Bachelor |
| 4 | Vera Erikstad Rutherfurd | Faculty of Mathematics and Natural Sciences | Mathematics with Informatics | Bachelor |
| 5 | Nora Christina Lokken | Faculty of Social Sciences | Master of Economics (2-year) | Master |
| Case | SSB: Webscraping, structuring, automated program |
| Group 2 - NORAD | ||||
|---|---|---|---|---|
| 1 | Eira Henden Nybakk | Faculty of Social Sciences | Political Science | Bachelor |
| 2 | Nora Didriksen | Faculty of Social Sciences | Political Science | Bachelor |
| 3 | Nikolai Elias Koop | Faculty of Mathematics and Natural Sciences | Informatics: Digital Economics and leadership | Bachelor |
| 4 | Oda Strand Marchand | Faculty of Humanities | European languages - Russian language | Bachelor |
| 5 | Kasim Sadikovic | Faculty of Mathematics and Natural Sciences | Mathematics | Bachelor |
| Case | Norad: Data collection, text analysis, classification |
The United Nations Association of Norway
| Group 3 - FN-sambandet | ||||
|---|---|---|---|---|
| 1 | Markus Annæus Austreim Opheim | Faculty of Social Sciences | Samfunnsøkonomi (bachelor) | Bachelor |
| 2 | Hannes Bräuer | Faculty of Social Sciences | Peace and Conflict Studies | Master |
| 3 | Andreas Lind Kroknes | Faculty of Social Sciences | Master program Political Science/Statsvitenskap - Master | Master |
| 4 | Gard Olav Dietrichson | Faculty of Social Sciences | Political Science | Master |
| 5 | Jørn Lager Lyngås | Faculty of Social Sciences | Sosialantropologi | Bachelor |
| Case | FN-sambandet: API, data structuring |
The Office of the Auditor General of Norway
| Group 4 - Riksrevisjonen | ||||
|---|---|---|---|---|
| 1 | Xhensila Kllogjeri | Faculty of Social Sciences | Samfunnsøkonomi | Bachelor |
| 2 | Christine Diane Malaca Morte | Faculty of Law | Master i rettsvitenskap | Master |
| 3 | Izolda Vlasova | Faculty of Social Sciences | Samfunnsøkonomi | Bachelor |
| 4 | Anton Kristian Bugge | Faculty of Social Sciences | Political Science | Bachelor |
| 5 | Hedvig Signy Monsen Kristoffersen | Faculty of Social Sciences | Master in Economic Theory and Econometrics | Master |
| 6 | Willem Ofstad | Faculty of Social Sciences | Master of Economic Theory and Econometrics | Master |
| Case | Riksrevisjonen: Data collection, exploratory analysis |
| Group 5 - OPX | ||||
|---|---|---|---|---|
| 1 | Agnieszka Sadlowska | Faculty of Social Sciences | Statsvitenskap | Bachelor |
| 2 | Torbjørn Skinnemoen Ottersen | Faculty of Social Sciences | Public administration and leadership | Bachelor |
| 3 | Ida Kristine Garthe | Faculty of Humanities | Chinese Culture and Society | Master |
| 4 | Henrik Waage Rui | Faculty of Social Sciences | Political Science | Bachelor |
| 5 | Amalie Halle Christensen | Faculty of Social Sciences | Masters in Economic Theory and Econometrics | Master |
| Case | OPX: Data collection and indicator building |
On Friday the 1st of July
| Organization | Presenter | Time | Group |
|---|---|---|---|
| Statistics Norway (SSB) | Xeni Kristine Dimakos | 10:15 - 10:35 | 1 |
| United Nations Association of Norway (FN-sambandet) | Nicholas Wilkinson | 10:40 - 11:00 | 3 |
| Norad | Einar Tornes | 11:05 - 11:25 | 2 |
| Office of the Auditor General of Norway (Riksrevisjonen) | Aleksander Eilertsen | 11:30 - 11:50 | 4 |
| OPX (Oslo Philanthropic Exchange) | Bosse Langaas | 11:55 - 12:15 | 5 |
The agile manifesto:
Minimum viable product (MVP): The least finished product you can make that will still allow you to test the functionality.
Sprints: Short sessions of work (e.g. one week) with clearly defined tasks
Stakeholders: Frequently talk to the people who are going to use your product – does it address their needs?
Roles:
How to capitalize on each others’ strengths?
Find the test in Canvas.